Senior Data Engineer

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role
At the intersection of commercial strategy and cutting-edge technology, this role is your opportunity to shape how data-driven intelligence powers healthcare decisions across the affiliate. As Manager, Business Intelligence, Data Science & AI, you will lead the design and delivery of analytics capabilities — from executive dashboards and predictive models to AI-powered automation tools — that directly accelerate commercial performance and strategic decision-making. You will own the end-to-end Business Intelligence agenda, integrating diverse data sources to generate insights that matter, and translating complex analytical findings into compelling narratives for senior leadership. Operating with considerable autonomy, you will define priorities, develop policies, and build solutions that position the affiliate at the forefront of commercial analytics in the pharmaceutical industry. This is a role for someone who combines deep technical expertise with strong business acumen and the ability to influence at the highest levels of the organization.

Who You Are

• You hold a degree in Data Science, Computer Science, Engineering, Statistics, Economics, or a related field; a postgraduate qualification in Data Science, Artificial Intelligence, Analytics, or Business Administration is preferred.
• You bring 5 to 8 or more years of experience in Business Intelligence within the pharmaceutical industry, with a strong track record in commercial analytics, market research, and supporting Marketing, Sales, and Leadership teams.
• You are proficient in Power BI, advanced Excel, statistical modelling, and machine learning fundamentals for building predictive and prescriptive analytics solutions. Experience in Python and SQL is a plus.
• You have hands-on experience developing AI agents, Generative AI solutions, and automation tools — including familiarity with large language model orchestration frameworks and responsible AI governance principles.
• You demonstrate the ability to integrate and synthesize multiple commercial data sources — including syndicated market data, CRM platforms, digital analytics, and financial data — into coherent, actionable insights.
• You communicate with clarity and confidence, translating complex analytical outputs into strategic narratives for executive audiences, and collaborating effectively across commercial, medical, and digital functions.
• You demonstrate AI literacy — including a working understanding of how artificial intelligence technologies function, their practical business applications, ethical considerations such as bias and data privacy, and the governance frameworks that ensure responsible use in a commercial healthcare context.
• You are fluent in Spanish (native level) and have advanced business-level proficiency in English.

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Data Lead

Para laborar en CDMX/ GDL en esquema híbrido.

Requisitos

Indispensables

• 10+ años de experiencia en roles de Data Engineering / Data Platform .
• Experiencia sólida y hands-on en:
• Databricks (Delta Lake, workflows, DAG).
• Apache Airflow / Astronomer.
• Python, SQL, dbt, AWS.
• Experiencia comprobable implementando frameworks de CI/CD (Harness, GitHub Actions, Azure DevOps).
• Comprensión profunda de:
• Gobernanza de datos (catálogos, linaje, contratos, metadatos).
• Técnicas de calidad de datos ( Data Quality ) y enmascaramiento de datos ( Data Masking ).
• Plataformas de datos empresariales y ecosistemas de Data Marketplace .
• Experiencia en integraciones basadas en APIs (ej. sistemas de derechos/acceso como AccessCentral ).
• Manejo de herramientas de monitoreo y observabilidad (ej. Datadog ).

Responsabilidades

• Liderar la arquitectura, desarrollo e implementación de soluciones de Data Engineering y Data Platform a nivel empresarial.
• Construir y mantener workflows, DAGs y pipelines de procesamiento con Databricks (Delta Lake) y Apache Airflow / Astronomer.
• Desarrollar y optimizar modelos y transformaciones de datos utilizando Python, SQL, dbt sobre infraestructura en AWS.
• Diseñar e implementar pipelines automatizados de CI/CD utilizando Harness, GitHub Actions o Azure DevOps.
• Implementar estrategias y controles de gobernanza de datos, linaje, contratos de datos, metadatos, calidad de datos y técnicas de enmascaramiento ( masking ).
• Arquitectar e integrar plataformas empresariales de datos y ecosistemas de Data Marketplace .
• Diseñar e implementar integraciones basadas en APIs con sistemas de entitlement (ej. AccessCentral).
• Configurar, supervisar y mantener la observabilidad y monitoreo continuo de las plataformas con herramientas como Datadog.

Ofrecemos

• Horario de Oficina
• Esquema 100% nómina
• Sueldo abierto a negociación de acuerdo a experiencia
• Prestaciones de Ley
• Prestaciones superiores (SGMM familiar, SV 1 millón, Vales de despensa, 30 días de aguinaldo, PTU)

CVs must be submitted in English to be considered

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on 

Glassdoor's Best Places to Work

 list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU'LL WORK WITH

Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions.

Within this broader team, you'll be embedded in 

Coro, Bain's proprietary B2B go-to-market software suite

. Coro delivers AI-accelerated data, analytics, and GTM tools — including MoneyMap, ProfitCube, Partner Sonar, and Coro Assist — that help revenue organizations identify opportunities, align commercial teams, and drive profitable growth at scale.

WHERE YOU'LL FIT WITHIN THE TEAM

As a Staff Data Engineer, you are the most senior individual contributor on Coro's data platform. You own the full lifecycle of the work, from translating business requirements into technical designs, through hands-on development, all the way to deployment and ongoing operations. You will take the lead on the most complex engineering problems, write the documentation others build from, and are the person junior engineers turn to when they're stuck. This is not a management role; it's the highest expression of craft and ownership on the engineering team that will include mentoring and peer leadership of junior engineers.

WHAT YOU'LL DO

Engineering & Solution Delivery (60%)

• Define technical architecture for Coro's data platform, working with Senior Architects and Engineering Managers to validate designs, discuss trade-offs, and ensure long-term scalability and performance as the product grows.
• Ensure data models adhere to best practices in security, normalization, naming conventions, primary/foreign key relationships, indexing, and constraints.
• Author technical design documents, translate business requirements into engineering specifications, and lead the development team through execution.
• Personally lead development of the most complex platform components while supporting teammates on advanced challenges.
• Provide 3rd-level technical support and own resolution of major incidents, driving post-incident improvements.
• Direct code deployments and maintain oversight of CI/CD pipelines, release management, and operational reliability.

Technical Leadership & Continuous Improvement (40%)

• Drive innovation across the team — identify emerging technologies, lead knowledge sharing, and champion engineering excellence.
• Lead technical discovery, POCs, and innovation work streams to validate new tools, architectures, and approaches.
• Mentor junior and senior engineers, establishing a culture of high standards, continuous learning, and shared ownership.
• Advise on opportunities to continuously improve speed, accuracy, repeatability, and maintainability through automation and tooling.
• Collaborate with Bain's cloud and infrastructure team to refine processes, tooling, and operational approaches.
• Drive visible CI/CD flow improvements with measurable impact on time to market, quality, cost, and uptime.
• Support team in recruiting activities including resume review and technical interviews.

ABOUT YOU

Experience

5–8+ years of experience in the following areas:

• Serving in a senior technical leadership role, architecting and operationalizing scalable cloud-based data platforms or software products.
• Designing and building highly scalable Python-based data systems used in production by multiple teams or external clients.
• Leading, mentoring, and growing teams of engineers across multiple products or work streams.
• Partnering with senior stakeholders to advise on technical options given time, cost, and resource constraints.
• Building and operating ETL/ELT pipelines at enterprise scale.
• Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
• Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
• Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
• Multiple public clouds (AWS, Azure, GCP) and their Python SDKs.
• Infrastructure as code and automation: Terraform, GitHub Actions, and CI/CD pipeline design.

Education

• Bachelor's degree or an equivalent combination of education, training, and experience.

Knowledge, Skills & Abilities

• Deep Python expertise across the full breadth of the language: typing, concurrency, performance profiling, packaging, and the standard library.
• Software architecture fundamentals: system design, API contracts, modular decomposition, and scalability patterns.
• Strong SQL, data modeling, governance, and privacy practices; ability to design and validate sound schemas at scale.
• Able to communicate architecture and technical trade-offs to executive, business, and engineering audiences alike.
• Demonstrated ability to mentor engineers and build engineering culture, not just deliver code.
• Results-driven and entrepreneurial; able to navigate ambiguity and align teams around a clear technical direction.

Additional Qualifications

• Streaming: Kafka, Kinesis, or Spark Structured Streaming.
• Docker, Kubernetes, and cloud-native architecture.
• Architecture cost optimization and cloud resource management.
• A second language: Go, Rust, Scala, or TypeScript.
• Generative AI, machine learning, or data science tooling.
• Experience with service management and Agile tools (Azure DevOps, JIRA, or similar).

Expert Technology Solutions
Position Snapshot:
Type of Contract:
Full Time

Function and Stream:
NUSA

Type of work:
Hybrid

Work Language:
Fluent Business English

The role:
The Expert Tech Solutions will support the effective use of analytics platforms such as Power BI, Power Automate, and Databricks within the U.S. market, ensuring these platforms are reliable, performant, secure, and aligned to business needs.

This role provides advanced platform solutions tailored to NUSA business needs while aligning with global standards, enterprise architecture direction, and platform governance expectations. The role acts as a primary liaison between business users, analytics teams, and platform teams, helping translate business priorities into scalable platform capabilities, driving best practices, resolving complex platform and performance issues, and accelerating delivery of high-value analytics use cases.

What you’ll do:
As a Expert Tech Solutions you will:

• Support the adoption, effective use, and continuous improvement of analytics platforms such as Power BI, Power Automate, Databricks, and related analytics enablement capabilities.
• Monitor, troubleshoot, and improve platform reliability, performance, scalability, usability, and operational health across analytics solutions, reports, workspaces, jobs, notebooks, pipelines, and integrations.
• Provide advanced market-specific platform solutions aligned with business needs, global standards, enterprise architecture direction, security expectations, and platform governance requirements.
• Act as a liaison between business users, analytics teams, data engineering, and platform teams to translate business needs into actionable platform support and optimization activities.
• Drive best practices for analytics platform usage, including workspace organization, semantic model performance, report optimization, access management, monitoring, and cost-conscious usage.
• Resolve complex platform, reporting, data access, performance, and integration issues through root-cause analysis, remediation, and continuous improvement actions.
• Support secure and governed analytics delivery by applying standards for access controls, data protection, auditability, data quality, lineage, documentation, and operational controls.
• Contribute to documentation, runbooks, knowledge articles, training materials, and standard operating procedures to improve self-service adoption and reduce operational friction.

We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.

• Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
• Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
• Hybrid working environment with flexible working scheme.
• Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Join our global team of IT professionals at Nestlé, driving daily innovation and leveraging cutting-edge technologies to address digital opportunities. Grow professionally in a dynamic and impactful environment, collaborating with business partners worldwide to deliver integrated technology solutions!

What will make you a great fit?

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Data Management, or a related field; equivalent experience will be considered.
• 4+ years of experience in analytics platform engineering, BI engineering, data engineering, data platform operations, platform support, or related technology roles.
• Hands-on experience supporting analytics platforms such as Power BI, Power Automate, Databricks, Microsoft Azure, SQL-based platforms, cloud data services, or related BI and data engineering environments.
• Strong understanding of BI and analytics delivery patterns, including semantic models, dashboards, reporting performance, workspace management, data refreshes, access controls, and governed self-service analytics.
• Experience supporting Databricks or similar cloud data platforms, including jobs, notebooks, compute resources, platform configurations, monitoring, troubleshooting, and performance optimization.
• Understanding of data pipelines, ETL/ELT frameworks, ingestion, transformation, orchestration, data quality, and structured, semi-structured, and unstructured data sources.
• Ability to translate business needs into technical solutions, explain complex platform concepts clearly, and collaborate effectively with business users, analytics practitioners, data engineers, platform teams, and global IT stakeholders.
• Strong communication, problem-solving, documentation, and stakeholder management skills, with fluency in English.

Preferred Qualifications:

• Experience with Power BI administration, Power BI Premium/Fabric capacity concepts, DAX, data modeling, semantic model optimization, report performance tuning, and governed self-service BI practices.
• Experience with Databricks capabilities such as Delta Lake, Unity Catalog, Databricks SQL, notebooks, jobs, workflow orchestration, workspace governance, cluster policies, and cost/performance optimization.
• Familiarity with CI/CD, Git-based development, Infrastructure-as-Code, automation, monitoring, alerting, runbooks, root-cause analysis, and incident management practices.
• Exposure to AI/ML enablement, AI-ready data foundations, feature engineering, vector search, or analytics patterns that support advanced analytics and GenAI use cases.
• Certifications such as Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer, Azure Data Engineer, Databricks Data Engineer, or related analytics platform credentials are a plus.

Not a 100% match? No worries! Nestlé supports your personal growth with customized development solutions.
What you can expect in your application journey:

• Hit apply and enter our job portal.
• Submit your application with your CV.
• We will contact relevant applicants.
• Interviews (HR, Hiring team and stakeholders).
• Feedback.
• We make an offer.
• Location dependent checks and pre-onboarding.
• First working day.

About Nestlé:
We are Nestlé, the largest food and beverage company with brands including KitKat, Nescafé, Maggi, Purina, among many others. We are approximately 275,000 employees strong, motivated by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 94.4 billion sales in 2022, we have an expansive presence, with 344 factories in 77 countries. Want to learn more? Visit us at www.nestle.com.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.